Comparative analysis of CNN filter sizes

Image Classification vs Semantic Segmentation

• Classification - assign a label

• Image classification —> single label

• Cat or Dog

Image Classification vs Semantic Segmentation

• Semantic Segmentation -> assign a label to each pixel

• Output -> Mask

Convolution Layer

• Typical CNN architecture

Convolution Layer - Animation

• Typical CNN architecture

Data Exploration and Visualization

• Describe your data sources and collection process.

• Present initial findings and insights through visualizations.

• Highlight unexpected patterns or anomalies.

Modeling and Results

• Explain your data preprocessing and cleaning steps.

• Present your key findings in a clear and concise manner.

• Use visuals to support your claims.

• Tell a story about what the data reveals.

Conclusion

• Summarize your key findings.

• Discuss the implications of your results.

References